A recent study found that only 8.4% of U.S. agents appear in AI-generated answers to high-intent searches in their markets, while the top 1% capture 47% of citation share. According to the report, agents can improve visibility through third-party citations, consistent business data, distributed reviews, and original local content.
The study, which tracked 8.2 million real estate conversations in AI search models, discovered that buyer behavior has changed faster than any channel in real estate marketing history. As a result, portals like Zillow are losing ground.
Read Also: Nykia Wright outlines NAR transparency and antitrust reset
For the first time since AI search tracking began in 2024, Zillow‘s share of agent-discovery traffic declined year over year from 41.2% to 33.8%, according to the 2026 State of AI SEO in Real Estate report. This represents a nearly one-fifth (17.5% relative decline) loss of its agent-discovery share in just 12 months.
The displaced traffic didn’t migrate to Realtor.com, Redfin, or another portal. Instead, it appears that homebuyers are increasingly using AI tools as their primary research method before contacting an agent. The report found that 67% of homebuyers now use an AI tool, up from 17% just 18 months ago.
Why Are Portals Losing Out?
Zillow, Realtor.com, and Redfin were built for a buyer who searches in fragments, typing a keyword, scanning a list, and clicking a profile. However, a growing share of the market now behaves differently, having conversations with AI tools like ChatGPT.
Session replay analysis of 12,000 buyer journeys revealed that the average buyer asks 8.7 questions before identifying a two-to-three agent shortlist, with 71% of those queries being hyper-local. This is a significant departure from the traditional portal journey.
Real estate has four characteristics that make it well-suited to AI-mediated discovery: the average American completes fewer than four real estate transactions in a lifetime, buyers have no muscle memory for choosing an agent, they don’t know what to look for, and they need an explainer and value.
The Role of AI in Real Estate
AI models can provide this value by pulling agent data from Google Business Profiles, local content, and third-party consensus. Seventy-one percent of buyers won’t contact an agent without third-party validation, and AI models weight this validation heavily.
In a conversational-search world, the tool that explains, recommends, and narrows is better matched to the buyer’s actual need. This advantage is reinforced by the fact that real estate has the lowest AI Overview trigger rate of any major consumer vertical, at just 4.5%.
Across 42,180 tracked leads, AI-sourced leads close at 9.6% within 90 days, compared to 2.4% for Zillow Premier Agent leads and 1.8% for Google Ads. The average GCI per lead is $1,180 for AI-sourced leads, versus $240 for Zillow.
The reason for this huge increase in close rates is that a buyer who has spent 30-plus minutes asking an AI about a market arrives pre-educated and speaks to agents in an almost ‘I’ve been referred to you’ manner.
Despite this, only 8.4% of practicing U.S. agents appear in any AI-generated response to high-intent searches in their own market, and the top 1% capture 47% of all AI citation share. The concentration is partly explained by a training-data problem, with Zillow, Realtor.com, Redfin, Trulia, and Homes.com accounting for an estimated 61% of real estate-related URLs in publicly available LLM training datasets.
Breaking Through the Default
Breaking through this default requires building an identity outside the portal context, with third-party citations, consistent business information, original local content on an agent’s website, and review distribution across multiple platforms. Agents with citations spread across four or more review platforms are significantly more likely to surface in AI responses.
AI citations drive homebuyers and sellers to reach out to an agent directly and allow people to essentially prequalify themselves before choosing who to work with in their local market. In 71% of U.S. metros, no single agent currently holds more than 15% citation share, leaving room for agents to establish themselves in their markets.